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לפני 1 שעות
חברה חסויה
Location: Petah Tikva
Job Type: Full Time
A growing B2B SaaS company is looking for an experienced Head of Data Science to lead its Data Science function and drive the next generation of AI and machine learning capabilities.

This is a strategic leadership role combining people management, hands-on problem-solving, cross-functional collaboration, and ownership of data-driven innovation across the organization.

Responsibilities

Lead and mentor a global team of Data Scientists.

Define and execute the company's Data Science strategy.

Drive the development of advanced machine learning, optimization, and forecasting solutions.

Partner closely with Product, Engineering, Customer Success, and executive leadership.

Translate complex business challenges into scalable analytical solutions.

Support customer-facing initiatives and strategic engagements when needed.

Establish best practices for experimentation, model evaluation, and performance measurement.

Act as a key stakeholder in shaping the company's AI vision and roadmap.
Requirements:
Requirements

8+ years of experience in Data Science, Machine Learning, Statistics, Operations Research, Economics, or a related field.

Proven experience leading Data Science teams.

M.Sc. or Ph.D. in a quantitative discipline.

Strong expertise in machine learning, predictive analytics, optimization, forecasting, and statistical modeling.

Experience in fintech, revenue optimization, forecasting, recommendation systems, retail technology, or similar data-intensive domains.

Strong business orientation and ability to connect analytical insights to business outcomes.

Excellent communication and stakeholder management skills.

Experience working in a SaaS environment.

Fluent English.


Advantage

Experience with Generative AI and LLM-based applications.

Experience working with enterprise customers.

Experience managing distributed teams.
This position is open to all candidates.
 
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05/08/2026
Location: Petah Tikva
Job Type: Full Time
As a Data Science Manager, you will lead, mentor, and grow a team of applied data scientists working on machine learning models that power AI-driven cybersecurity solutions. You will own the end-to-end development lifecycle of AI projects, from exploratory research and experimentation through to scalable deployment and optimization. In this role, you will partner with engineering and product leadership to define technical strategies, prioritize initiatives, and ensure successful model delivery. You will also drive innovation across a broad spectrum of ML domains, including supervised/unsupervised learning, anomaly detection, and generative AI, while providing hands-on guidance and championing best practices in MLOps, data governance, and model evaluation.
Key Responsibilities
Lead, mentor, and grow a team of applied data scientists working on machine learning models that power AI-driven cybersecurity solutions.
Own the end-to-end development lifecycle of AI projects - from exploratory research and experimentation through scalable deployment and optimization.
Partner with engineering and product leadership to define technical strategies, prioritize initiatives, and ensure successful model delivery.
Drive innovation across a broad spectrum of ML domains including supervised/unsupervised learning, anomaly detection and generative AI.
Provide hands-on guidance in model development using tools such as scikit-learn, PyTorch, TensorFlow, and Hugging Face.
Ensure high-quality execution through strong code review practices, reproducibility, and model evaluation frameworks.
Champion best practices in MLOps, data governance, explainability, and monitoring.
Keep pace with academic and industry advances and translate cutting-edge research into productized capabilities.
Requirements:
8+ years of industry experience in AI/ML or Data Science, with at least 4-year leading teams and managing direct reports.
Solid proficiency in Python and machine learning libraries/frameworks such as scikit-learn, PyTorch, TensorFlow, or Hugging Face.
Strong familiarity with natural language processing (NLP), including LLMs and transformer-based architectures, and their applications to real-world use cases.
Strong technical communication skills and the ability to collaborate across cross-functional teams.
Strategic mindset with the ability to connect AI research to business value and product opportunities.
Preferred Qualifications
Masters degree or PhD in a technical field (e.g., Computer Science, Machine Learning, Statistics, Engineering).
Familiarity with cybersecurity, identity security, or risk mitigation use cases.
Experience with cloud-based ML infrastructure (e.g., AWS SageMaker, GCP Vertex AI) and big data tools (e.g., Spark, Airflow).
Hands-on knowledge of MLOps tooling for CI/CD, monitoring, and versioning of ML assets.
Publications, patents, or open-source contributions in AI/ML.
This position is open to all candidates.
 
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Location: Petah Tikva
Job Type: Full Time
As a Data Science Manager, you will lead, mentor, and grow a team of applied data scientists working on machine learning models that power AI-driven cybersecurity solutions. You will own the end-to-end development lifecycle of AI projects, from exploratory research and experimentation through to scalable deployment and optimization. In this role, you will partner with engineering and product leadership to define technical strategies, prioritize initiatives, and ensure successful model delivery. You will also drive innovation across a broad spectrum of ML domains, including supervised/unsupervised learning, anomaly detection, and generative AI, while providing hands-on guidance and championing best practices in MLOps, data governance, and model evaluation.
Key Responsibilities
Lead, mentor, and grow a team of applied data scientists working on machine learning models that power AI-driven cybersecurity solutions.
Own the end-to-end development lifecycle of AI projects - from exploratory research and experimentation through scalable deployment and optimization.
Partner with engineering and product leadership to define technical strategies, prioritize initiatives, and ensure successful model delivery.
Drive innovation across a broad spectrum of ML domains including supervised/unsupervised learning, anomaly detection and generative AI.
Provide hands-on guidance in model development using tools such as scikit-learn, PyTorch, TensorFlow, and Hugging Face.
Ensure high-quality execution through strong code review practices, reproducibility, and model evaluation frameworks.
Champion best practices in MLOps, data governance, explainability, and monitoring.
Keep pace with academic and industry advances and translate cutting-edge research into productized capabilities.
Requirements:
8+ years of industry experience in AI/ML or Data Science, with at least 4-year leading teams and managing direct reports.
Solid proficiency in Python and machine learning libraries/frameworks such as scikit-learn, PyTorch, TensorFlow, or Hugging Face.
Strong familiarity with natural language processing (NLP), including LLMs and transformer-based architectures, and their applications to real-world use cases.
Strong technical communication skills and the ability to collaborate across cross-functional teams.
Strategic mindset with the ability to connect AI research to business value and product opportunities.
Preferred Qualifications
Masters degree or PhD in a technical field (e.g., Computer Science, Machine Learning, Statistics, Engineering).
Familiarity with cybersecurity, identity security, or risk mitigation use cases.
Experience with cloud-based ML infrastructure (e.g., AWS SageMaker, GCP Vertex AI) and big data tools (e.g., Spark, Airflow).
Hands-on knowledge of MLOps tooling for CI/CD, monitoring, and versioning of ML assets.
Publications, patents, or open-source contributions in AI/ML.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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חברה חסויה
Location: Petah Tikva
Job Type: Full Time
We are looking for a high-impact FP&A Business Partner to join our Corporate FP&A team. This role primarily focuses on financial planning, analysis, business partnering, and driving AI-enabled FP&A transformation, supporting a fast-growing, dynamic organization.
The ideal candidate is a strong finance professional and strategic thinker, capable of turning complex data into actionable insights and supporting decision-making at senior levels, with a strong affinity for data, automation, and embedding AI tools into day-to-day FP&A processes, and a hands-on approach and a willingness to dive into the details and get the work done.
Responsibilities
Business Partnering & Financial Leadership:
Act as a trusted financial advisor to business units, partnering closely with senior stakeholders to support decision-making
Provide clear financial guidance, insights, and recommendations to leadership
Collaborate cross-functionally to align financial plans with business goals and KPIs
Planning, Forecasting & Analysis:
Lead the business partner annual budgeting, quarterly estimates, month closing and other forecasting and planning processes
Perform variance analysis (Actual vs. Budget vs. Forecast) and deliver actionable insights
Build and maintain financial models supporting corporate performance and strategic initiatives
Prepare executive-level reporting, presentations, and KPI dashboards
Leverage FP&A systems and data tools and emerging AI capabilities (e.g., Anaplan, NetSuite, Priority, BI) to support analysis, ensure data accuracy, and improve reporting processes, with a solid understanding of underlying data flows and systems logic
AI-Driven FP&A Excellence:
Leverage AI, automation, and advanced analytics tools to enhance forecasting, planning, and business insights
Drive the adoption and integration of AI tools (e.g., predictive models, copilots, automation solutions) into core FP&A workflows
Identify opportunities to improve efficiency, reduce manual work, and streamline processes using AI and automation
Partner with data, BI, and technology teams to embed scalable AI-driven solutions into financial processes
Ability to leverage technology for automation, insight generation, and storytelling
Continuous Improvement & Ad-hoc Initiatives:
Lead and support cross-company initiatives and ad-hoc analysis
Proactively identify and implement process improvements, optimize, and automate financial processes
Operate effectively in a fast-paced, fast-growing, changing, and agile environment
Ensure compliance with accounting standards and internal policies
Drive FP&A process transformation initiatives, with a focus on automation, scalability, and AI enablement.
דרישות:
Education and Experience:
B.A in Economics, Industrial Engineering, Accounting or Business administration
(MBA is an advantage)
Minimum 5 years of experience in FP&A positions, preferably as FP&A Business Partner in a global environment
Proven experience supporting senior stakeholders, including C-level
Fluent written and spoken English - Must
Experience leading or supporting AI, automation, or digital transformation initiatives within finance or FP&A - strong advantage
Technical & Systems Skills:
Strong Excel and Power Point skills
Hands-on experience with FP&A and ERP systems (e.g., Anaplan, NetSuite, Priority, BI tools)
Good understanding of data structures and systems logic
Familiarity with AI tools, automation platforms, or data science concepts (e.g., Python, SQL, Power BI advanced analytics, or similar) - advantage
Experience working with large datasets and applying advanced analytics or automation techniques - advantage
Required Qualifications:
Strong team player with a positive attitude
Highest standards of accuracy, ownership and attention to details
Strong analyticaland problem-solving skills
Excellent financial storytelling and presentation abilities
Strong interpersonal and stakeholder management skills, including working המשרה מיועדת לנשים ולגברים כאחד.
 
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הגשת מועמדותהגש מועמדות
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20/07/2026
Location: Petah Tikva
Job Type: Full Time
We're looking for a Data Scientist to turn our network data into a competitive advantage. You'll work directly with terabytes of telecom signaling, session, and usage data to build models that improve network selection, detect anomalies, optimize cost-per-gigabyte, and surface insights that shape product and commercial strategy. This is a high-impact role sitting at the intersection of ML, telecom engineering, and business decision-making.

What You'll Do

Design and deploy machine learning models on network data - including network selection optimization, churn and usage prediction, fraud and anomaly detection, and QoS/QoE forecasting.

Analyze CDRs, signaling events (Diameter, GTP, SIP), session logs, and radio-level metrics to identify performance issues, cost drivers, and growth opportunities.

Partner with the Network Operations and Product teams to translate raw telemetry into actionable signals - e.g., which carrier to steer traffic to in a given country at a given hour.

Build forecasting and segmentation models that inform pricing, capacity planning, and customer lifecycle strategy.

Own analyses end-to-end: framing the business question, exploring the data, building the model, validating it, and communicating findings to both technical and executive audiences.

Define and track KPIs for network quality, customer experience, and commercial performance, and build dashboards that make those metrics visible across the company.

Mentor junior data scientists and analysts, and help raise the bar on data science practices, code quality, and experimentation rigor.
Requirements:
What We're Looking For
5+ years of hands-on data science experience, ideally with exposure to telecom, networking, IoT, or large-scale event/log data.
Strong applied ML background: classification, regression, time-series forecasting, anomaly detection, clustering, and a working understanding of when to use what.
Expert SQL and strong Python (pandas, scikit-learn, PyTorch, or TensorFlow). Comfort with big-data tooling such as AWS Lakehouse, Redshift, and others.
Track record of shipping models into production and measuring their business impact, not just building notebooks.
Strong analytical storytelling - you can take a noisy dataset and turn it into a clear narrative for a non-technical stakeholder.
Telecom and networking concepts - cellular architecture (2G/3G/4G/5G), roaming, IMSI/IMEI, HLR/HSS, signaling protocols, QoS metrics. If you don't have this yet but have worked on similarly complex network/log data, we'd still like to talk.
Excellent written and spoken English.
Nice to Have
Familiarity with streaming data (Kafka, Flink) and real-time inference.
Background in pricing, revenue management, or unit economics analysis.
MSc or PhD in Computer Science, Statistics, EE, Physics, or a related quantitative field.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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Location: Petah Tikva
Job Type: Full Time
We are looking for an experienced Engineering Escalation Manager to join our team and serve as a key bridge between Engineering, Support, Product, Customer Success, and Sales. In this role, you will drive strategic initiatives, improve operational excellence, and ensure we deliver an exceptional customer experience at scale.
Key Responsibilities
Become a subject matter expert in customer challenges within the IAM domain, driving alignment across Support, Sales, Customer Success, Product, and Engineering to improve collaboration and accelerate resolution of critical issues.
Partner with Engineering and Support Engineering teams on strategic, global initiatives that improve scalability, efficiency, and customer outcomes.
Collaborate with cross-functional leaders to identify operational gaps, implement improvements, and establish best practices that enhance customer experience.
Own and continuously improve escalation processes, ensuring high-impact customer issues are effectively managed, resolved, and transformed into actionable product insights.
Build and optimize feedback loops between customers, support teams, and engineering teams to ensure customer insights influence product strategy and roadmap decisions.
Leverage data and operational insights to identify trends, improve team performance, and drive continuous improvements in product adoption and customer satisfaction.
Requirements:
Bachelors degree in Computer Science, Engineering, a related field, or equivalent practical experience.
8+ years of experience in a technical, customer-facing role such as Escalation Management, Support Engineering, or Technical Account Management.
Demonstrated experience managing complex technical escalations and driving them to resolution across multiple teams.
Excellent cross-functional collaboration skills with a proven ability to influence and align stakeholders (e.g., Engineering, Product, Support).
A data-driven and outcome-oriented mindset, with experience using metrics to guide decisions and process improvements.
Strong customer advocacy skills with experience building feedback loops to influence product roadmaps.
Preferred Qualifications
Experience in the Identity and Access Management (IAM) domain.
Experience in a product-minded role, connecting technical expertise with business impact and customer needs.
A continuous improvement mindset with a track record of enhancing operational processes.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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07/08/2026
Location: Petah Tikva
Job Type: Full Time
We are looking for an experienced Engineering Escalation Manager to join our team and serve as a key bridge between Engineering, Support, Product, Customer Success, and Sales. In this role, you will drive strategic initiatives, improve operational excellence, and ensure we deliver an exceptional customer experience at scale.
Key Responsibilities
Become a subject matter expert in customer challenges within the IAM domain, driving alignment across Support, Sales, Customer Success, Product, and Engineering to improve collaboration and accelerate resolution of critical issues.
Partner with Engineering and Support Engineering teams on strategic, global initiatives that improve scalability, efficiency, and customer outcomes.
Collaborate with cross-functional leaders to identify operational gaps, implement improvements, and establish best practices that enhance customer experience.
Own and continuously improve escalation processes, ensuring high-impact customer issues are effectively managed, resolved, and transformed into actionable product insights.
Build and optimize feedback loops between customers, support teams, and engineering teams to ensure customer insights influence product strategy and roadmap decisions.
Leverage data and operational insights to identify trends, improve team performance, and drive continuous improvements in product adoption and customer satisfaction.
Requirements:
Bachelors degree in Computer Science, Engineering, a related field, or equivalent practical experience.
8+ years of experience in a technical, customer-facing role such as Escalation Management, Support Engineering, or Technical Account Management.
Demonstrated experience managing complex technical escalations and driving them to resolution across multiple teams.
Excellent cross-functional collaboration skills with a proven ability to influence and align stakeholders (e.g., Engineering, Product, Support).
A data-driven and outcome-oriented mindset, with experience using metrics to guide decisions and process improvements.
Strong customer advocacy skills with experience building feedback loops to influence product roadmaps.
Preferred Qualifications
Experience in the Identity and Access Management (IAM) domain.
Experience in a product-minded role, connecting technical expertise with business impact and customer needs.
A continuous improvement mindset with a track record of enhancing operational processes.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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Location: Petah Tikva
Job Type: Full Time
We are seeking a highly motivated and talented Junior AI Scientist to join our FILM (Foundation Intelligence & Learning Models) team. This role is designed for an early-career professional or a recent graduate who is passionate about driving customer impact, through the frontier of Artificial Intelligence, Generative AI and agentic architecture. As a Junior AI Scientist, you will work closely with senior researchers and engineers to develop, refine, and deploy cutting-edge AI solutions that impact our core technology stack.
Responsibilities:
Assist in the research and development of Generative AI (GenAI) applications and frameworks.
Clean, analyze, and interpret large datasets to derive actionable insights for model training and evaluation.
Participate in the full lifecycle of GenAI development, from initial concept to deployment and monitoring.
Stay up-to-date with the latest advancements in GenAI/ML research and propose innovative ideas to solve complex problems.
Requirements:
Education: Master of Science (M.Sc.) in Computer Science, Data Science, Mathematics, Physics, or a related quantitative field.
Technical Skills: Proficiency in programming languages such as Python or R, and experience with ML frameworks (e.g., PyTorch, TensorFlow).
Foundation: Solid understanding of probability, statistics, and linear algebra.
Passion: A deep-seated passion for AI, GenAI, and data-driven innovation.
Advantages:Previous experience in a technology-driven environment.
Hands-on experience with LLMs, prompt engineering, fine-tuning models, agentic solutions experience. Knowledge of data pipelines, SQL, and big data processing tools.
Strong communication skills and the ability to work effectively in a collaborative team setting
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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חברה חסויה
Location: Petah Tikva
Job Type: Full Time
Were hiring a Validation data Scientist to join a leading Fintech company and work on the validation of Machine Learning -based credit models. Contract: Temporary position until the end of the year, with an option to extend. Location: Tel Aviv, on the train line. Work model: Hybrid - 2 days from home per week.
?What will you do Validate ML-based credit models, assessing performance, data quality, robustness, and conceptual soundness. Challenge model assumptions and propose alternative approaches when needed. Analyze model strengths and weaknesses and provide practical recommendations for improvement. Generate insights and analyses to support data -driven decisions. Prepare thorough model validation documentation in accordance with regulatory standards. Support ongoing monitoring and improvement of predictive models.
Requirements:
Requirements - Must Have 3+ years of experience in data Science roles with exposure to Machine Learning models. Strong Python skills, including pandas, NumPy, scikit-learn, and Seaborn. Bachelors degree in data Science, Statistics, Computer Science, or a related quantitative field. Strong problem-solving and critical-thinking skills, with excellent communication abilities.
Fluent English. Nice to Have Masters degree in a relevant field. Experience in Finance or financial modeling. Familiarity with Cloud platforms and distributed computing, particularly AWS. Knowledge of regulatory requirements and model risk in financial models.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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חברה חסויה
Location: Petah Tikva
Job Type: Full Time
We are seeking an experienced R&D Director to lead our global engineering organization and drive the execution of our technology strategy. This role is responsible for leading multiple engineering teams through experienced managers, scaling engineering excellence, and ensuring the successful delivery of high-quality, enterprise-grade SaaS solutions. The ideal candidate is a strong people leader with extensive experience managing large-scale engineering organizations in a global environment. They will play a key role in accelerating AI adoption across the engineering organization, embedding AI-driven development practices, and leveraging AI technologies to improve productivity, software quality, and innovation.
Responsibilities:
* Lead and scale the global engineering organization through engineering managers, fostering a high-performance culture.
* Define and execute the engineering strategy in alignment with business and product objectives.
* Drive AI adoption across engineering by integrating AI-powered tools and development practices that improve productivity, software quality, and delivery.
* Develop engineering leaders through coaching, mentorship, succession planning, and organizational growth.
* Partner with Product, Architecture, Customer Success, and Executive Leadership to deliver scalable enterprise SaaS solutions.
* Drive engineering excellence by improving development processes, operational efficiency, quality, and execution.
* Oversee planning, prioritization, resource allocation, and execution across multiple engineering initiatives.
* Stay ahead of emerging technologies and industry trends to ensure continuous innovation.
Requirements:
* 10+ years of software engineering experience, including significant leadership of large engineering organizations.
* Proven experience managing global engineering teams through engineering managers.
* Strong background in enterprise SaaS and modern cloud technologies.
* Demonstrated success driving AI adoption and modern engineering practices.
* Exceptional leadership, communication, and stakeholder management skills.
* Experience building and developing high-performing engineering organizations.
* Bachelors degree in Computer Science, Engineering, or a related field; advanced degree is an advantage.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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07/08/2026
Location: Petah Tikva
Job Type: Full Time
We are looking for an experienced and strategic Group Manager to lead our Directory Services group within the Identity organization. In this key leadership position, you will manage and inspire engineering teams spread across multiple geographies, driving one of the foundational, mission-critical services of our Identity platform. Directory Services sits at the heart of our security and identity ecosystem, serving as the high-scale foundation for user authentication, enterprise directory integration, and data sync across enterprise environments. As a manager of managers, you will be responsible for defining the technical and operational vision, scaling high-availability distributed systems, nurturing talent across global offices, and ensuring our identity infrastructure meets the rigorous security and reliability demands of enterprise customers worldwide.
Key Responsibilities
Multi-Geo People & Organizational Leadership: Lead, mentor, and grow team managers and senior technical leaders across global geographies. Scale the group through strategic recruitment, team structuring, and proactive talent development.
Service Vision & Strategy: Own the vision, engineering execution, and strategic roadmap for Directory Services-one of Identitys key foundational pillars.
Scale, Reliability & Security: Ensure ultra-high availability, low-latency performance, seamless scalability and robust security standards.
Cross-Organizational Collaboration: Partner closely with Product Management, Security Architects and multiple R&D units.
Rapid & Critical Incident Response: Lead cross-regional response to high-priority operational or security events related to directory environments, driving rapid resolution and long-term systemic mitigations.
Thought Leadership in IAM: Stay at the forefront of modern Identity & Access Management (IAM) practices and enterprise directory protocols.
Requirements:
At least 4+ years of experience as a Group Manager or Manager of Managers with a proven track record of leading engineering managers.
At least 8+ years of overall software engineering management experience.
At least 5+ years of experience in Identity & Access Management (IAM), enterprise security, or large-scale core platform engineering.
Demonstrated background in building and operating high-scale, high-availability (HA) distributed systems.
Strong technical foundation in backend engineering (e.g., Java, Go, C#, Python) with a strong architectural vision.
Experience managing multi-tenant SaaS identity platform services at scale.
Hands-on leadership approach-able to engage deeply in strategic architectural discussions while maintaining high-level oversight.
Proven success driving cross-functional alignment, setting high quality standards, and consistently meeting critical deadlines.
Strong passion for people leadership: coaching, mentoring managers, building high-performing team cultures, and retaining top talent.
Excellent communication skills with the ability to present complex architectural strategies and plans clearly to executive leadership and global stakeholders.
A resilient, 'play-to-win' mindset with the ability to prioritize and execute under pressure in high-growth environments.
Preferred Qualifications
Deep domain knowledge in Directory Services & Protocols (e.g., Active Directory, LDAP, SCIM, cloud directory synchronization, identity stores).
Proven experience managing geographically distributed (multi-geo) engineering teams.
Experience modernizing legacy directory architectures into scalable, cloud-native directory services (e.g., Microsoft Entra ID / AWS Directory Service / hybrid identity models).
This position is open to all candidates.
 
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